ArticleNature communications2026
A T7 RNAP regulatory toolbox for cell-free network engineering and biosensing applications.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- A T7 RNAP regulatory toolbox for cell-free network engineering and biosensing applications.Nature communications · 2026Article
- Horseradish peroxidase as an electrochemical reporter protein for cell-free biosensors.Synthetic biology (Oxford, England) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
T7 RNA polymerase is ubiquitously used in the fields of synthetic biology and biotechnology. Yet the ability to precisely and modularly regulate T7 RNAP remains surprisingly limited. Here, we engineer a T7 RNAP regulatory toolbox consisting of programmable synthetic repressors, activators, and biosensors in a cell-free system. This toolbox enables scalable design of T7 RNAP-based gene regulatory networks and enables rapid, sensitive, and multiplexed detection of diverse biomolecules, including small-molecule drugs, antibodies, and proteins, in a simple one-pot reaction. By integrating a protein design pipeline, we generate biosensors using fully synthetic binders, demonstrating the potential for rapid development of protein-based sensors. We construct a diagnostic cell-free system combining SARS-CoV-2 Spike protein sensing, gene regulatory based amplification, enzymatic amplification, and glucose based detection demonstrating the potential for point-of-care detection with high sensitivity. This work demonstrates a flexible and expandable framework for constructing gene circuits responsive to a wide range of biomolecules and demonstrates the potential for engineering point-of-care cell-free diagnostic assays.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.